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Logit Transformation

Source: R/logit.R
logit.Rd

Applies the logit transformation to a probability value, mapping it from the interval (0, 1) to the real line (-Inf, Inf).

Usage

logit(p)

Arguments

p

A numeric vector of probabilities, where each value must be in the interval (0, 1).

Value

A numeric vector where each value is the logit of the corresponding input probability. The output will be in the range (-Inf, Inf).

Details

The logit function is defined as: $$logit(p) = \log\left(\frac{p}{1 - p}\right)$$ This is commonly used in logistic regression and other models where probabilities need to be mapped to a real-valued scale.

See also

inv_logit for the inverse logit (logistic) function.

Examples

logit(0.5)   # Returns 0
#> [1] 0
logit(0.8)   # Positive value
#> [1] 1.386294
logit(0.2)   # Negative value
#> [1] -1.386294